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3 results for “adversarial attack”
Beyond Decision Boundaries: Relational Geometry Attacks on Contrastive Embedding Manifolds
Researchers introduced a new adversarial attack framework that corrupts the relational geometry of contrastive embedding manifolds—targeting similarity structure rather than classification decisions—and demonstrated severe performance degradation on verification systems like Markmatch.
Aug 12, 2026
Automatic Hard Example Synthesis with Multi-Level Agentic Data Curation
Researchers introduced an automated, multi-agent red-teaming system that synthesizes adversarial multimodal examples to improve MLLM content safety robustness, reducing false negatives by 16.7 percentage points on a public benchmark without human labeling.
Jul 17, 2026
Does Demand Response Increase Vulnerability to Cyber Attacks by Adversarial Data Modifications?
A new arXiv preprint identifies how adversarial data manipulations targeting electricity price forecasts can undermine industrial demand response profitability and decision integrity, revealing that attack impact depends critically on perturbation direction—not just magnitude.
Jul 10, 2026